Sunjae Bae, MD, PhD

Research Assistant Professor, Department of Surgery at NYU Grossman School of Medicine
Research Assistant Professor, Department of Population Health at NYU Grossman School of Medicine

Nadav Brandes, PhD

Assistant Professor, Department of Biochemistry and Molecular Pharmacology at NYU Grossman School of Medicine

Research Keywords

Human Genetics, Artificial Intelligence , Large Language Models, Deep Learning, Proteins, Statistical Genetics, Single-Cell Genomics

Charles Cleland, PhD

Professor, Department of Population Health at NYU Grossman School of Medicine

Research Keywords

pragmatic trials, multiphase optimization strategy (MOST), health equity, HIV, substance use

Ivan L. Diaz, PhD

Associate Professor, Department of Population Health at NYU Grossman School of Medicine

Hyungrok Do, PhD

Assistant Professor, Department of Population Health at NYU Grossman School of Medicine

Research Keywords

Biostatistics, Machine Learning, Algorithmic Fairness, Survival Analysis, Electronic Health Records

Judith D. Goldberg, ScD

Professor, Department of Population Health at NYU Grossman School of Medicine

Research Keywords

categorical data subject to misclassification, design, conduct, and analysis of clinical trials, statistical issues in medical screening, statistical methods for epidemiology, statistical methods for the analysis of observational data, survival analysis, biostatistics

Keith S. Goldfeld, DrPH

Associate Professor, Department of Population Health at NYU Grossman School of Medicine

Research Keywords

biostatistics, data analysis, study design

Erinn M. Hade, PhD

Associate Professor, Department of Population Health at NYU Grossman School of Medicine

Research Keywords

clinical trials, causal inference, reproductive epidemiology, maternal health, neonatology, traumatic brain injury, administrative and electronic health records

Eran Halperin, PhD

Gary Hettinger, PhD

Assistant Professor, Department of Population Health at NYU Grossman School of Medicine

Research Keywords

causal inference, observational data, health policy, quasi-experimental methods, comparative effectiveness, oncology, machine learning